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Farmers’ constraints, governmental support and climate change adaptation: evidence from Guangdong Province, China

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  • Ying Xu
  • Christopher Findlay

Abstract

While climate change is widely acknowledged, the role of government support in adaptation is less understood. We narrow this knowledge gap by modelling adaptation as a three‐stage process where a farmer sequentially decides: (i) whether there is a need for adaptation; (ii) whether there are constraints that prevent adaptation; and (iii) whether such constraints are removed through government support. We develop a triple‐hurdle model to describe this decision‐making process and empirically estimate the impact of government support using a rural household survey from Guangdong Province, China. It is found that government support is positively associated with raising the odds of adaptation by about one quarter. This magnitude is larger than the estimates in recent literature, suggesting government support is more effective for farmers bound by constraints. Therefore, for cost‐effective policy outcomes there is a need to identify the constraints and the farmers facing them.

Suggested Citation

  • Ying Xu & Christopher Findlay, 2019. "Farmers’ constraints, governmental support and climate change adaptation: evidence from Guangdong Province, China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), pages 866-880, October.
    • Handle: RePEc:bla:ajarec:v:63:y:2019:i:4:p:866-880
    DOI: 10.1111/1467-8489.12321
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    Cited by:

    1. Onyeneke, Robert Ugochukwu & Igberi, Christiana Ogonna, 2020. "Climate change adaptation actions by fish farmers: evidence from the Niger Delta Region of Nigeria," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), April.
    2. Loarne-Lemaire, Séverine Le & Bertrand, Gaël & Razgallah, Meriam & Maalaoui, Adnane & Kallmuenzer, Andreas, 2021. "Women in innovation processes as a solution to climate change: A systematic literature review and an agenda for future research," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    3. Lipeng Li & Apurbo Sarkar & Xi Zhou & Xiuling Ding & Hua Li, 2022. "Influence and Action Mechanisms of Governmental Relations Embeddedness for Fostering Green Production Demonstration Household: Evidence from Shaanxi, Sichuan, and Anhui Province, China," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    4. Yanqi Xie & Apurbo Sarkar & Md. Shakhawat Hossain & Ahmed Khairul Hasan & Xianli Xia, 2021. "Determinants of Farmers’ Confidence in Agricultural Production Recovery during the Early Phases of the COVID-19 Pandemic in China," Agriculture, MDPI, vol. 11(11), pages 1-22, October.

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